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The Paid Search Specialist is a hands-on SEM expert that will be responsible for analyzing data and developing strategic optimizations and recommendations within Paid Search platforms.
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Hands on experience in Databricks. Experience with development and implementation of various AWS services including Athena, Lambda, EC2, Elastic Search, Dynamo DB, Arora, Redshift, CloudWatch, S3 and Glue.
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Working hands-on with your Director of Sales and Market President to set and exceed sales goals. Diversifying our clients' solutions through cross-selling a variety of marketing solutions including broadcast, digital (website design, SEO, SEM, Programmatic, Paid Search/Social, etc.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-(XXX) XXX-XXXX or via email at RecruitingAccommodation@capitalone.com.
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Hands-on experience working with Elastic Search, Mongo DB, Docker, Kubernetes, Rabbit MQ, and NiFi. DevOps experience building and deploying cloud infrastructure with technologies like Ansible, Cloud Formation, Puppet, etc.
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Hands on experience with DSE Cassandra and Solr. Proficient with installation/configuration/oversight of DataStax Enterprise, Cassandra, and Solr Search as well as work closely with the custom software support team.
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Developing distributed computing Big Data applications using Spark, Elastic Search on HDP Hadoop. Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few.
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Provide hands-on support in Relativity, Brainspace and other litigation technology toolsets for a variety of requests, including: case creation; field and coding layout creation; strategic application of TAR and other analytics; advanced search design, implementation and validation; creation and support of document review and production workflows; privilege log design and management; complaint data and exhibit management.
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Hands-on experience with Vector Database & Graph DB (Pinecone, Milvus, Neo4j) and ability to create effective embedding, chunking, indexing for RAG. Hands on experience using Open AI APIs, Open Source LLMs (Llama2, Mistral, Mixtral etc.
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DESIRED KNOWLEDGE/SKILLS Hands-on experience working with E lastic Search, Mongo DB, Docker, Kubernetes, Rabbit MQ, and NiFi. Design and develop a processing platform using various configuration management technologies.
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Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. Expertise in natural language processing, search and recommendation, and machine learning with a passion for data-centric machine learning.
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Have hands on experience in the following: create topics, grant permissions, offset reset, setup new cluster, troubleshooting issues, upgrade cluster, installing varies Kafka components via ansible scripts (broker, zoo keeper, connect, schem registry, KSQL.
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Consistent track record and hands-on experience handling high campaign volume, large budgets, complex strategies across multiple Paid Search and Paid Social channels and driving quantifiable results.
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We are in search of a senior manager with a minimum of 3 years of hands-on experience within the lubricant data industry, particularly in Original Equipment (OE) or associated automotive lubricant markets.
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5+ years of solid hands on experience in coding, designing and supporting of big data solution in Hadoop using Hive, Spark, Presto, Pandas. One of our direct client is urgently looking for a Data Engineer.
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